matiasmolinas

7 ms·

1.
by matiasmolinas 7mo ago
What if your AI assistant learned from every session — remembering what worked, avoiding past mistakes, and getting smarter over time? Early Alpha...
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by matiasmolinas 7mo ago
We're building an OS for AI-powered robots where every component — agents, skills, memory, kernel rules — is a markdown file that LLMs can read, rewrite, and evolve. Two LLMs, two jobs: Claude Opus at dev time creates and evolves agent
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by matiasmolinas 7mo ago
What if your robot didn't just follow code, but wrote it? We are building LLMos, an OS where AI agents are first-class citizens. They perceive, reason, and will soon collaborate using distributed world models (inspired by RSA-LLM) and
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by matiasmolinas 9mo ago
Built a browser-based AI OS where a master agent creates/evolves specialized sub-agents defined in markdown, executes Python via WebAssembly, and learns from past executions via persistent memory. Key features: - Agent reuse & evol
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by matiasmolinas 9mo ago
I love Claude Code, but there are a few capabilities I kept wishing it had. So I built an experimental fork/extension to explore what those might look like. Three main additions I wanted: 1. Persistent Domain Memory Claude
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by matiasmolinas 9mo ago
Came across an early open-source project aiming to fix a big gap in current LLMs: statelessness. Every conversation resets to zero. LLM-OS tries to give AI systems persistent, evolving memory by treating everything as a memory artifact: Cry
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by matiasmolinas 10mo ago
When Linus posted Linux 0.01 in 1991, he wrote: "I'm doing a (free) operating system (just a hobby, won't be big and professional)." It wasn't complete. It wasn't polished. But the core ideas were there.
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by matiasmolinas 10mo ago
I'm working on LLM OS, an experimental project that explores treating the LLM as a CPU and Python as the kernel. The goal is to provide OS-level services—like memory hierarchy, scheduler hooks, and security controls—to agentic workflow
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by matiasmolinas 10mo ago
Most agent frameworks struggle with long-term, consolidated memory. They either have a limited context window or use simple RAG, but there's no real process for experience to become institutional knowledge. Inspired by the recent Googl
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by matiasmolinas 10mo ago
Curious what you think. We made LLMunix - an experimental system where you define AI agents in markdown once, then a local model executes them. No API calls after setup. The strange part: it also generates mobile apps. Some are tiny,
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by matiasmolinas 10mo ago
A year ago, if you told me I could: • Describe a workflow once to Claude • Have a 2GB local model execute it daily with actual reasoning • Generate production mobile apps with on-device AI • All for zero marginal cost ...I would've sai
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by matiasmolinas 10mo ago
I've been thinking about Wabi.ai's vision and Claude Imagine's approach: "software that doesn't exist until you need it." What if instead of downloading 50 different apps, you just described what you wanted and
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by matiasmolinas 11mo ago
I wanted to share a project I've been refining, called llmunix-starter. I've always been fascinated by the idea of AI systems that can adapt and build what they need, rather than relying on a fixed set of pre-built tools. This is
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by matiasmolinas 11mo ago
Let Claude Code create its own sub-agents and improve itself to achieve your goals. You can ask anything — try it! It’s an open-source Claude Code plugin: https://github.com/EvolvingAgentsLabs/llmunix-marketplace
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Is the future of AI agents code generation or direct interpretation?(linkedin.com)
3 points by matiasmolinas 1y ago|3 comments
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by matiasmolinas 1y ago
The release of Anthropic's "Imagine with Claude" is fascinating. It shows a model that doesn't generate code to build a UI; it uses tools to construct the UI directly. This feels like a major shift from the "AI as a
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by matiasmolinas 1y ago
Ismael Faro and I have been working on a solution to the inefficiency of agentic LLMs. Instead of having the LLM reason through every repetitive task, we've built an architecture where the agent acts as a Just-in-Time (JIT) compiler. T
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by matiasmolinas 1y ago
Hi HN, For a while, we've been exploring a core tension in agentic frameworks: you either get powerful but complex, code-heavy systems (like in my EAT project https://github.com/matiasmolinas/evolving-agents ), or
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by matiasmolinas 1y ago
A month ago, my collaborator Ismael Faro and I started exploring an idea: what if we could build an AI agentic framework that was not only powerful but also completely transparent and human-readable? This led to LLMunix, an experimental &qu
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by matiasmolinas 1y ago
Anthropic just launched a "sub-agents" feature for Claude Code, which lets you define specialized agents in Markdown files that the main agent can delegate tasks to. This is interesting to me because a month ago, I launched an exp
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by matiasmolinas 1y ago
Hi HN, We've been experimenting with LLMunix, a pure Markdown "operating system" where AI agents act as the kernel. The latest update adds persistent memory and agent-to-agent messaging - simple additions that fundament
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by matiasmolinas 1y ago
We've been experimenting with a different approach to AI agent frameworks. Instead of SDKs and compiled code, what if everything—the agents, their tools, their memory—was just Markdown files? LLMunix is our prototype testing thi
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by matiasmolinas 1y ago
Nice to have https://github.com/google-gemini/gemini-cli/discussions/1572
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Evolving Agents Labs – Experimental protocols for multi-agent AI collaboration(evolvingagentslabs.github.io)
1 points by matiasmolinas 1y ago|1 comments
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by matiasmolinas 1y ago
We're researching what Microsoft's Mustafa Suleyman calls the shift from "AI" to "AIs" - moving beyond single models to collaborative agent ecosystems. Current experiments: • LLMunix - Pure markdown oper
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by matiasmolinas 1y ago
https://github.com/EvolvingAgentsLabs/llmunix An experiment to explore Kaparthy ideas
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LLMunix: A Markdown OS Experiment Inspired by Karpathy's "LLMs as Computers"(github.com)
3 points by matiasmolinas 1y ago|1 comments
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by matiasmolinas 1y ago
Andrej Karpathy's recent AI startup school talk described LLMs as "new computers programmed in English" with properties of operating systems. We built LLMunix to explore these concepts practically. Core concept: Everythin
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I built an agent framework in 3 Markdown files(github.com)
3 points by matiasmolinas 1y ago|1 comments
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by matiasmolinas 1y ago
For the past few months, my collaborator Ismael Faro and I have been building a Python framework for creating self-evolving AI agent systems. It was powerful, with a smart library, an agent bus, and tools for evolution. But it had a problem

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